Senior Data Engineer

February 2

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Description

• Participating in all aspects of data platform lifecycle, including high level design, architecture definition, implementation, testing and deployment. • Curating complex datasets to prepare for either ML modeling or to be used for analytical work. • Designing and building ETL pipelines to include data from a wide variety of sources. • Work collaboratively within cross-functional Teams (Analysts, Account Manager, Client Managers). • Implement solutions on the Cloud (we work on all 3 Clouds, AWS/GCP/Azure). • Work with tools and technologies such as Python, SQL, Google BQ, Data Studio, ML libraries

Requirements

• Min 3 years of relevant work experience • University degree in Software Engineering, Computer Science or similar • Working experience using python on data and data-related libraries (eg. TensorFlow, NumPy, SciPy, Pandas, etc) • Experience and expertise with relational databases for data handling and query optimisation • Experience on bringing data pipelines into production • Experience of Data modeling, schema definition, data warehouse design, data lake concepts and practices • Extensive hands on experience in processing large amount of data from various sources in a programmatic way • Experience with latest software engineering practices (source code management - git, integration and performance testing, CI/CD) • Excellent command of the English language • Comfortable with working independently and taking ownership • Bonus points for: Experience with ML models • Understanding of online advertising space

Benefits

• Competitive compensation • Monthly bonus • Discretionary annual salary increases • Internal trainings either product specific (like Google Analytics, Microsoft PowerBI) or data in general (SQL, AI/ML foundations) • Brand new tech equipment (Macbook laptop, big screen, headphones)